Dive into a comprehensive 2-3 hour crash course on Scikit-learn, the powerful machine learning library for Python. Explore key concepts including introducing Scikit-learn, preprocessing techniques, metrics evaluation, meta-estimators, and the human-learn approach. Follow along with provided code examples and Jupyter notebooks for each section, enhancing your practical understanding. Gain valuable insights from additional resources such as official documentation, related courses, and algorithm whiteboards to further expand your machine learning knowledge.
Overview
Syllabus
) introduction.
) introducing scikit-learn.
) preprocessing.
) metrics.
) meta-estimators.
) human-learn.
) wrap-up.
Taught by
freeCodeCamp.org
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